1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.00
## dh0           1.76       3.14
## dh1           2.08       4.06
## dh2           1.22       1.76
## dh3           1.01       1.05
## dl0           1.05       1.11
## dl1           1.44       2.32
## dl2           1.10       1.38
## dl3           1.01       1.02
## 
## Multivariate psrf
## 
## 1.9

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.00       1.01
## dh0           1.01       1.03
## dh1           2.20       6.96
## dh2           1.21       1.75
## dh3           1.59       2.98
## dl0           1.02       1.07
## dl1           1.08       1.33
## dl2           1.01       1.03
## dl3           1.04       1.16
## 
## Multivariate psrf
## 
## 1.95

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results